Radiomics-based Non-invasive Classifier Research for HCC-related Liver Transplantation
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 200
- 主要终点
- tumor recurrent status
研究概览
简要总结
The purpose of this study is to establish a non-invasive radiomics method to filter high recurrent-risk liver transplantation recipient population
详细描述
Hepatocellular carcinoma is one of the most common malignant tumors in the world with high incidence and mortality. Liver transplantation is the most effective treatment for HCC and is in high demand in China. However, recurrence of HCC among liver transplantation recipients is still a great challenge and threat to the survival of recipients. So it is of great significance to establish a non-invasive way to filter high liver transplantation recipient population before transplantation. Based on large scales of pre-treatment MR images, the investigator's study aims to establish a non-invasive radiomics method to filter high recurrent-risk liver transplantation recipient population. This study will contribute to the precise selection of HCC-related liver transplantation recipients.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 70 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •All patients had postoperative pathological diagnosis of HCC
- •All patients had underwent contrast-enhanced MRI scan within 2 weeks before liver transplantation
排除标准
- •patients whose pathological diagnosis is not HCC
- •patients whose CT images were affected by strong imaging artifacts, i.e. artifacts obscuring more than 10% of whole volume of interest
- •patients whose clinical data or CT images were missing
结局指标
主要结局
tumor recurrent status
时间窗: two years
次要结局
未报告次要终点
研究者
Xiao Xu
professor
Zhejiang University